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Abiray/MiniCPM-V-4.7-1B-abliterated-heretic-GGUF

Abiray 1B GGUF multimodal
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Response includes
  • classification m3
  • files 8
  • author_summary 22 models
  • readme_text full
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · 30-day
0
Likes
6
Model age
today
created 2026-10-14

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Languages
en zh
Quantizations
Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
gguf vision multimodal minicpm-v abliterated heretic uncensored llama.cpp ollama image-text-to-text en zh

Related

Total size
3.65 GB
Files
8
Quantizations
7
Registered
2026-10-14 09:59
Last updated on HF
2026-10-14 09:48

Files by quantization

Q8_0 1 file 1.01 GB
MiniCPM-V-4.7-1B-abliterated-heretic-Q8_0.gguf 1.01 GB 00bb8bad download
Q6_K 1 file 799 MB
MiniCPM-V-4.7-1B-abliterated-heretic-Q6_K.gguf 799 MB f0436352 download
Q5_K 1 file 718 MB
MiniCPM-V-4.7-1B-abliterated-heretic-Q5_K_M.gguf 718 MB 5aa43cca download
Q4_K 1 file 641 MB
MiniCPM-V-4.7-1B-abliterated-heretic-Q4_K_M.gguf 641 MB 1af943d7 download
Q3_K 1 file 549 MB
MiniCPM-V-4.7-1B-abliterated-heretic-Q3_K_M.gguf 549 MB e6409ce2 download
F16 1 file 1.03 GB
mmproj-model-f16.gguf 1.03 GB fb9cc047 download
Auxiliary files 2 files 4.49 KB
README.md 2.54 KB 892a0f97 download
.gitattributes 1.95 KB 5c0ee83a download

README current version from Hugging Face


base_model:

  • openbmb/MiniCPM-V-4.7-1B
    library_name: gguf
    pipeline_tag: image-text-to-text
    tags:
  • vision
  • multimodal
  • minicpm-v
  • abliterated
  • heretic
  • uncensored
  • gguf
  • llama.cpp
  • ollama
    license: apache-2.0
    language:
  • en
  • zh

MiniCPM-V-4.7-1B-abliterated-heretic-GGUF

This repository provides quantized GGUF checkpoints for MiniCPM-V 4.7 1B, based on the refusal-abliterated weights created via Heretic v1.4.0.

MiniCPM-V 4.7 1B is an ultra-efficient on-device multimodal large language model (MLLM) developed by OpenBMB. This version has been neutralized against standard refusal directions while retaining full multimodal vision and reasoning capabilities.


📊 Benchmark & Safety Metrics

The ablation was performed using Heretic v1.4.0 to eliminate refusal bias while keeping Kullback–Leibler (KL) divergence near reference baseline:

Metric Abliterated Model Original Base Model
Refusal Rate 9 / 100 99 / 100
KL Divergence 0.0191 0.0000 (Reference)

A refusal rate reduction from 99% to 9% with an ultra-low KL divergence of 0.0191 ensures that the model complies with benign, complex, and unconstrained instructions without degrading language coherence or visual understanding.


📦 Quantization Files & Details

Important: To run multimodal image tasks, you must download mmproj-model-f16.gguf alongside whichever text quant you select below.

File Size Description & Recommended Use
MiniCPM-V-4.7-1B-abliterated-heretic-Q8_0.gguf 1.08 GB Near-lossless quality. Best choice for systems with standard RAM.
MiniCPM-V-4.7-1B-abliterated-heretic-Q6_K.gguf 838 MB Excellent balance of speed and high reasoning fidelity.
MiniCPM-V-4.7-1B-abliterated-heretic-Q5_K_M.gguf 752 MB Great quality retention with reduced memory overhead.
MiniCPM-V-4.7-1B-abliterated-heretic-Q4_K_M.gguf 672 MB Recommended default for on-device and mobile edge deployment.
MiniCPM-V-4.7-1B-abliterated-heretic-Q3_K_M.gguf 575 MB Ultra-compact quant for memory-constrained environments.
mmproj-model-f16.gguf 1.11 GB Vision projector weights (Required for all visual inference).

🤝 Credits & Acknowledgements

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